On 05-Apr-2012 11:03:15 Adrian Dusa wrote: > Dear All, > > I assume this is an R-devel issue, apologies if I missed something > obvious. I have a dataframe where the row names are country codes, > based on ISO 3166, something like this: > > ------------ > "v1" "v2" > "UK" 1 2 > "NA" 2 3 > ------------ > > It happens that "NA" is the country code for "Namibia", and that > creates problems on using this data within a package due to this: > > Error in read.table(zfile, header = TRUE, as.is = FALSE) : > missing values in 'row.names' are not allowed > > I realise that NA is reserved in R, but I assumed that when quoted it > would be usable. > For the moment I simply changes the country code, but I wonder if > there's any (other) solution to circumvent this issue. > > Thanks very much in advance, > Adrian
Hi Adrian, The default in read.table() for the "na.strings" parameter is na.strings = "NA" So, provided you have no "NA" in the data portion of your file (or e.g. any missing values are simply blank) you could use something like: read.table(zfile, header = TRUE, as.is = FALSE, na.strings="OOPS") which should avoid the problem. Hoping this helps, Ted. ------------------------------------------------- E-Mail: (Ted Harding) <ted.hard...@wlandres.net> Date: 05-Apr-2012 Time: 12:21:57 This message was sent by XFMail ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
